iPhone 16 Plus
Geekbench AI Score
3975
Single Precision Score
4452
Half Precision Score
4265
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 09:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| Model | iPhone 16 Plus |
| Model ID | iPhone17,4 |
| Motherboard | D48AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
738
137.3 IPS |
|
|
Image Classification (HP)
|
100% |
835
155.3 IPS |
|
|
Image Classification (Q)
|
97% |
914
170.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2867
46.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3690
59.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3681
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13602
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
14038
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13295
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1636
129.8 IPS |
|
|
Object Detection (HP)
|
100% |
1535
121.8 IPS |
|
|
Object Detection (Q)
|
91% |
1920
153.4 IPS |
|
|
Face Detection (SP)
|
100% |
7078
84.1 IPS |
|
|
Face Detection (HP)
|
100% |
9164
108.9 IPS |
|
|
Face Detection (Q)
|
100% |
6211
73.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11467
88.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12037
92.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10679
83.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29740
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32737
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30891
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4754
175.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3743
138.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4238
156.5 IPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5923
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5922
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
532
9.16 IPS |
|
|
Machine Translation (HP)
|
100% |
576
9.93 IPS |
|
|
Machine Translation (Q)
|
98% |
451
7.79 IPS |
